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Jupyter notebook tutorials for the Copernicus Climate Change and Atmosphere Monitoring Services

This repository hosts Jupyter notebook training material for the Copernicus Climate Change Service (C3S) and the Copernicus Atmosphere Monitoring Service (CAMS).

The tutorials are designed for anyone interested in using C3S & CAMS data and has the following objectives:

• to demonstrate how data can be accessed via the Climate Data Store (CDS) and the Atmosphere Data Store (ADS), and
• to offer example applications and analysis workflows for different data types

How to use these tutorials

These tutorials are in the form of Jupyter notebooks. You will not need to install any software as there are a number of free cloud-based services to create, edit, run and export Jupyter notebooks. Here are some examples:

Binder	Kaggle	Colab	Nbviewer
Binder may take some time to load the notebooks, so please be patient!	Before you can run the notebooks in Kaggle, you will need to login/register, and switch on the internet via settings	You will need a Google account to run the notebooks in Google Colab. Some packages may need to be installed using the command !pip install (package name)	Nbviewer will not run the notebooks, only render them

If you would like to run the notebooks in your own environment, we suggest you install Anaconda, which contains most of the libraries you will need. You will also need to install Xarray for working with multidimensional data in netcdf files, and the CDS/ADS API (pip install cdsapi) for downloading data programatically from the CDS & ADS.

This training material is made freely available on the ecmwf-projects Github space under a Apache 2.0 license.

Tutorials on C3S data

Introduction to the Climate Data Store (CDS)

• C3S Climate Data Store - Introduction

Analysis examples - Climate reanalysis data

• C3S Climate reanalysis - Tutorial on analysis of climatologies and trends in ERA5 climate reanalysis data
• C3S Climate reanalysis - Analysis of the September 2020 European heatwave using C3S reanalysis data
• C3S Climate reanalysis - Tutorial on calculating a climate index for wind chill
• C3S Climate reanalysis - Tutorial sull'uso dei dati del C3S (in Italian)

Analysis examples - Climate projections

• C3S Climate projections - CMIP6 Global climate projections
• C3S Climate projections - CORDEX Regional climate projections

Analysis examples - Seasonal forecasts

• C3S Seasonal forecasts - Introduction to calculating seasonal forecast anomalies from C3S data

Tutorials on CAMS data

Introduction to the Atmosphere Data Store

• CAMS Atmosphere Data Store - Introduction

Application examples

• CAMS Atmospheric Composition Data Access and Analysis Tutorial
• CAMS dust monitoring
• CAMS wildfire emissions
• CAMS ozone monitoring
• CAMS global reanalysis (EAC4) monthly averaged fields
• CAMS cross-section plot of sulphur dioxide (SO₂) for La Palma volcanic eruption in October 2021
• CAMS European air quality index (EAQI)

Tutorials on both C3S and CAMS data

• Tutorial on Copernicus ECMWF Data Access